首页> 外文会议>International Conference on Computational Science(ICCS 2006) pt.1; 20060528-31; Reading(GB) >Performance Comparison of Parallel Geometric and Algebraic Multigrid Preconditioners for the Bidomain Equations
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Performance Comparison of Parallel Geometric and Algebraic Multigrid Preconditioners for the Bidomain Equations

机译:双域方程的并行几何和代数多重网格预处理器的性能比较

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摘要

The purpose of this paper is to discuss parallel preconditioning techniques to solve the elliptic portion (since it dominates computation) of the bidomain model, a non-linear system of partial differential equations that is widely used for describing electrical activity in the heart. Specifically, we assessed the performance of parallel multigrid preconditioners for a conjugate gradient solver. We compared two different approaches: the Geometric and Algebraic Multigrid Methods. The implementation is based on the PETSc library and we reported results for a 6-node Athlon 64 cluster. The results suggest that the algebraic multigrid preconditioner performs better than the geometric multigrid method for the cardiac bidomain equations.
机译:本文的目的是讨论并行预处理技术,以解决双域模型的椭圆部分(因为它占主导地位),这是一种广泛用于描述心脏电活动的偏微分方程非线性系统。具体来说,我们评估了共轭梯度求解器的并行多网格预处理器的性能。我们比较了两种不同的方法:几何和代数多重网格方法。该实现基于PETSc库,我们报告了6节点Athlon 64集群的结果。结果表明,对于心脏双域方程,代数多重网格预处理器的性能优于几何多重网格方法。

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